Validation

Is there a way to check whether control is required? The problem arose when I implemented a dedicated form field component which accepts FormControl and has not only input but also validation errors. Since some field are required it's good to let the user know if it's required by *. Is there a way to check the @Input() control: FormControl for Validators.required and display an asterisk? You can do something like this: import as AbstractControl); This will return an Object with the list of validators that are present on your FormControl. You can then check for the required key in the Object. If it exists and its value is true then you can be sure that a Required Validator is applied on the FormControl. Here's a Working Sample StackBlitz for your ref. I needed something slightly more abstract, so I've adapted the answer from @siddajmera a bit to be able to use on any field. In your .ts file: isRequiredField(field: string) Then, in your template file: Some Field:*Some Field:* I'm a bit late to the game but I think this could be solved by using a Pipe. The answers above solve your problem but there is a small caveat. By directly using a method/getter in your template, this function is executed every change detection run as stated in My solution By using a pure Pipe the check on the provided control is fired once the input value to the Pipe has changed. I've added the ControlRequiredPipe to the AppModule providers and declarations parts. When the pipe is added to the provide...

Key points • Validation communicates that a relationship is important and solid even when two parties disagree. • Using validation effectively begins with being present, both with one's own emotions as well as others'. • Being uncomfortable with emotions may lead one to inadvertently invalidate another person's experience. • Validation is never about lying or simply agreeing with someone else, but rather understanding their point of view. Validation is the recognition and acceptance of another person's thoughts, feelings, sensations, and behaviors as understandable. Self-validation is the recognition and acceptance of your own thoughts, feelings, sensations and behaviors as understandable. Learning how to use validation effectively takes practice. Knowing the six levels of validation as identified by Marsha Linehan, Ph.D. will be helpful. The first level is being present. There are so many ways to be present. Holding someone's hand when they are having a painful medical treatment, listening with your whole mind and doing nothing but listening to a child describe their day in first grade, and going to a friend's house at midnight to sit with her while she cries because a supposed friend told lies about her are all examples of being present. The second level of validation is accurate reflection. Accurate reflection means you summarize what you have heard from someone else or summarize your own feelings. This type of validation can be done by others in an awkward, sing-songy,...

• v • t • e In The model is initially fit on a training data set, target (or label). The current model is run with the training data set and produces a result, which is then compared with the target, for each input vector in the training data set. Based on the result of the comparison and the specific learning algorithm being used, the parameters of the model are adjusted. The model fitting can include both Successively, the fitted model is used to predict the responses for the observations in a second data set called the validation data set. Finally, the test data set is a data set used to provide an unbiased evaluation of a final model fit on the training data set. holdout data set. The term "validation set" is sometimes used instead of "test set" in some literature (e.g., if the original data set was partitioned into only two subsets, the test set might be referred to as the validation set). Deciding the sizes and strategies for data set division in training, test and validation sets is very dependent on the problem and data available. Training data set [ ] A training data set is a For classification tasks, a supervised learning algorithm looks at the training data set to determine, or learn, the optimal combinations of variables that will generate a good Most approaches that search through training data for empirical relationships tend to Validation data set [ ] A validation data set is a In order to avoid overfitting, when any The basic process of using a validation d...

Building or modernizing a Java enterprise web app has always been a long process, historically. Not even remotely quick. That's the main goal of Jmix is to make the process quick without losing flexibility - with the open-source RAD platform enabling fast development of business applications. Critically, it has very minimal impact on your server's performance, with most of the profiling work done separately - so it needs no server changes, agents or separate services. Simply put, a single Java or Kotlin developer can now quickly implement an entire modular feature, from DB schema, data model, fine-grained access control, business logic, BPM, all the way to the UI. Jmix supports both developer experiences – visual tools and coding, and a host of super useful plugins as well: >> Try out Jmix Slow MySQL query performance is all too common. Of course it is. A good way to go is, naturally, a dedicated profiler that actually understands the ins and outs of MySQL. The Jet Profiler was built for MySQL only, so it can do things like real-time query performance, focus on most used tables or most frequent queries, quickly identify performance issues and basically help you optimize your queries. Critically, it has very minimal impact on your server's performance, with most of the profiling work done separately - so it needs no server changes, agents or separate services. Basically, you install the desktop application, connect to your MySQL server, hit the record button, and you'll hav...

“…the collection and evaluation of data, from the process design stage throughout production, which establishes scientific evidence that a process is capable of consistently delivering quality products.” -from FDA's Guidance for Industry, Process Validation: General Principles and Practices Call Validation Services Provided: • • • • • • • • A Validation Master Plan (VMP) is an integral part of a well organized validation project. It documents the company's approach to complex validation projects. The VMP has a broad scope. It clarifies responsibilities, general objectives, procedures to be followed for validation, and it prioritizes multiple validation tasks. It may reference several protocols and procedures to be written in order to conduct the qualification of several different pieces of equipment and different processes. It may also specify schedules for validation and the allocation of resources needed to perform the validation. Your VMP provides a means of communication to everyone associated with the project. It lets management know how the company’s resources are being allocated and when they will see the results. It tells the validation team what they have to do, when they have to do it, and gives them a means of tracking progress. Other groups can find out what the validation team is doing and what their roles are in support of the validation project. FDA can look at the VMP and realize that the validation project is well thought out and organized; that there is a...